Cases

Complex decisions, carried through to operations.

A selection of recent work. Under confidentiality agreements clients are not named: we describe the context, the complexity, the decisions and what changed structurally.

Financial services

Multicloud migration with a zero-downtime window

Critical transactional platform in an owned data center, with the infrastructure contract expiring and board pressure for cost predictability.

downtime window: 0downtime window
migration waves: 3migration waves
infrastructure cost: -30%infrastructure cost

ScaleThree migration waves run with the internal team.

Challenge

Rising cost, difficulty scaling at peaks and dependency on a single infrastructure vendor.

Complexity

No acceptable downtime window, regulated data and strong coupling between components built over more than a decade.

ÀFÒNJÁ's role

Technical direction of the migration and advisory to technology leadership, with execution run alongside the internal team.

Approach

Architecture and cost assessment, landing zone design, wave-based migration with data replication and rehearsed cutovers, followed by assisted operation.

Key decisions

Domain-by-domain migration waves, no big bang
Landing zone with environment isolation and regulatory controls by design
Data replication with a rehearsed cutover before each wave
Decoupling of critical components before moving workloads
Cost model per domain, with continuous FinOps from day one

What changed structurally

Infrastructure stopped being a growth constraint: capacity became a business decision, and cost gained an owner and a monthly reading.

Retail

Data platform and predictive models for operations

An expanding retail network making buying and replenishment decisions from spreadsheets and manual weekly reports.

source of truth: 1source of truth
report consolidation time: -80%report consolidation time
indicator refresh: dailyindicator refresh

Challenge

Data scattered across isolated systems, no consolidated view of the operation and little trust in the numbers.

Complexity

Heterogeneous sources, business rules implicit in reports and a commercial routine that could not stop during the transition.

ÀFÒNJÁ's role

Data architecture design, governance model definition and technical leadership of the build.

Approach

A data platform with automated ingestion, a governed analytical layer and predictive models connected to the replenishment routine.

Key decisions

A single source of truth for operational indicators
Business rules moved from reports into the governed analytical layer
Data contracts and named owners per domain
Demand forecasting embedded in the buying process, not in an isolated dashboard

What changed structurally

The weekly buying discussion now starts from a number the operation recognizes — and no longer depends on whoever built the spreadsheet.

Healthcare

Reliability and operations engineering on a critical product

A product used in clinical routine, with incidents reaching leadership through customers before monitoring caught them.

monitoring and incident response: 24/7monitoring and incident response

Challenge

Slow manual deployments, incidents discovered by users and no reliability indicators.

Complexity

Sensitive data, low failure tolerance and a small team that had to keep the roadmap moving while changing how it operated.

ÀFÒNJÁ's role

Engineering assessment, operating model design and rollout run with the internal team.

Approach

CI/CD pipeline, infrastructure as code, end-to-end observability, SLO definition and an incident response routine.

Key decisions

Deploy model revised: small, reversible releases
End-to-end observability before any optimization
SLOs agreed with product and business, not only engineering
Incident routine with ownership, learning and structural fixes
Infrastructure as code to remove manual configuration

What changed structurally

Reliability became an indicator leadership tracks: incidents are now detected by monitoring rather than by users.

Anonymized cases. Client names and sensitive data are omitted under confidentiality agreements. We publish verifiable indicators only.

Next steps

What is holding backyour organization'snext decision?

Technology, architecture, AI, product, data or organization. Tell us the context — the first conversation is about understanding the problem before discussing any solution. Directly with ÀFÒNJÁ leadership.

Prefer a more direct route?

If you lead technology and would rather skip the form, write straight to our inbox.

send an email

E-mail: contato@afonja.com.br
Telefone / WhatsApp: +55 31 99399-5519